Zero spectrum removal using joint bilateral filter for Fourier transform profilometry

Tai Chiu Hsung, Pak Kong Lun, William W L Ng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)


Traditional Fourier transform profilometry (FTP) removes the zero spectrum of the acquired fringe image using the linear filtering approach. Such approach assumes there is no aliasing between the zero spectrum and the higher harmonics of the image, which however is not true in general. Thus it cannot adapt to sharp illuminant changes in the fringe image. One practical solution is to exploit one more fringe pattern with π phase shift to eliminate the zero spectrum. This however complicates the system in that the projection of the fringe patterns should be synchronized with the capturing device. Motion or imperfect synchronization makes the subsequent 3D reconstruction erroneous. In this paper, we introduce a 2D joint bilateral filter to help in removing the zero spectrum. Since the bilateral filter is sensitive to abrupt changes in the fringe image, we can accurately extract the zero spectrum even if there are sharp spatial variations in the pixel magnitude. Experimental results show that the proposed algorithm is superior to the traditional methods and facilitate accurate reconstruction of objects' 3D model.
Original languageEnglish
Title of host publication2011 IEEE Visual Communications and Image Processing, VCIP 2011
Publication statusPublished - 1 Dec 2011
Event2011 IEEE Visual Communications and Image Processing, VCIP 2011 - Tainan, Taiwan
Duration: 6 Nov 20119 Nov 2011


Conference2011 IEEE Visual Communications and Image Processing, VCIP 2011

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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